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Comparing willingness-to-pay and subjective well-being in the context of non-market goods

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  • Dolan, Paul
  • Metcalf, Robert

Abstract

In order to value non-market goods, economists estimate individuals’ willingness to pay (WTP) for these goods using revealed or stated preference methods. We compare these conventional approaches with subjective well-being (SWB), which is based on individuals’ ratings of their happiness or life satisfaction rather than on their preferences. In the context of a quasi- experiment in urban regeneration, we find that monetary estimates from SWB data are significantly higher than from revealed and stated preference data. Stigma in revealed preferences, mental accounting in stated preferences and unspecified duration in SWB ratings might explain some of the difference between the valuation methods.

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  • Dolan, Paul & Metcalf, Robert, 2008. "Comparing willingness-to-pay and subjective well-being in the context of non-market goods," LSE Research Online Documents on Economics 28504, London School of Economics and Political Science, LSE Library.
    • Handle: RePEc:ehl:lserod:28504
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    2. Bruno S. Frey & Simon Luechinger & Alois Stutzer, 2010. "The Life Satisfaction Approach to Environmental Valuation," Annual Review of Resource Economics, Annual Reviews, vol. 2(1), pages 139-160, October.
    3. Miaoqing Yang & Eugenio Zucchelli, 2015. "The impact of public smoking bans on well-being externalities: evidence from a natural experiment," Working Papers 85310008, Lancaster University Management School, Economics Department.
    4. Metcalfe, Robert & Dolan, Paul, 2012. "Behavioural economics and its implications for transport," Journal of Transport Geography, Elsevier, vol. 24(C), pages 503-511.
    5. Powdthavee, Nattavudh & Stutzer, Alois, 2014. "Economic Approaches to Understanding Change in Happiness," IZA Discussion Papers 8131, Institute of Labor Economics (IZA).
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    8. Berlemann, Michael, 2016. "Does hurricane risk affect individual well-being? Empirical evidence on the indirect effects of natural disasters," Ecological Economics, Elsevier, vol. 124(C), pages 99-113.
    9. Anita Ratcliffe, 2015. "Wealth Effects, Local Area Attributes, and Economic Prospects: On the Relationship between House Prices and Mental Wellbeing," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 61(1), pages 75-92, March.
    10. Berlemann, Michael & Eurich, Marina, 2021. "Natural hazard risk and life satisfaction – Empirical evidence for hurricanes," Ecological Economics, Elsevier, vol. 190(C).
    11. Berlemann, Michael, 2015. "Hurricane Risk, Happiness and Life Satisfaction. Some Empirical Evidence on the Indirect Effects of Natural Disasters," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113073, Verein für Socialpolitik / German Economic Association.
    12. Beckmann, Michael & Cornelissen, Thomas & Schauenberg, Bernd, 2009. "Fixed-term Employment, Work Organization and Job Satisfaction : Evidence from German Individual-Level Data," Working papers 2009/08, Faculty of Business and Economics - University of Basel.
    13. YODO Masato & UCHIDA Atsuhiko, 2022. "How Much Is It Worth Not Being Alone? An empirical evaluation of social support using the life satisfaction approach in Japan," Discussion papers 22108, Research Institute of Economy, Trade and Industry (RIETI).

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    More about this item

    Keywords

    willingness to pay; preferences; life satisfaction; subjective well-being; nonmarket goods;
    All these keywords.

    JEL classification:

    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies
    • D62 - Microeconomics - - Welfare Economics - - - Externalities
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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